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2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)最新文献

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Adaptive 2-D DOA Estimation using Subspace Fitting 基于子空间拟合的自适应二维DOA估计
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Pub Date : 2018-11-01 DOI: 10.1109/ICDSP.2018.8631546
Jie Zhuang, L. Yang, Guo-Yong Ning, I. Hussein, Wei Wang
{"title":"Adaptive 2-D DOA Estimation using Subspace Fitting","authors":"Jie Zhuang, L. Yang, Guo-Yong Ning, I. Hussein, Wei Wang","doi":"10.1109/ICDSP.2018.8631546","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631546","url":null,"abstract":"Direction-of-arrival (DOA) estimation is a ubiquitous task in array processing. In this paper, we propose an adaptive 2-dimensional direction finding framework to track multiple moving targets by using the subspace fitting method. First, we expand the steering vectors of the current snapshot in a Taylor series around the DOAs of the previous snapshot. Then we transform the subspace fitting problem into a set of linear equations. As a result, the DOAs of each snapshot can be updated by solving a set of linear equations and we no longer need to search the 2-D spatial spectrum. In comparison with the traditional 2-D MUSIC, the proposed method not only reduces the computational complexity considerably but also has better estimation performance.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115113459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Adaptive Simultaneous Orthogonal Matching Pursuit for mmWave Hybrid Beam Tracking 毫米波混合波束跟踪的自适应同步正交匹配跟踪
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Pub Date : 2018-11-01 DOI: 10.1109/ICDSP.2018.8631653
Che-Chuan Yeh, Kai-Neng Hsu, Jung-Chun Chi, Yuan-Hao Huang
{"title":"Adaptive Simultaneous Orthogonal Matching Pursuit for mmWave Hybrid Beam Tracking","authors":"Che-Chuan Yeh, Kai-Neng Hsu, Jung-Chun Chi, Yuan-Hao Huang","doi":"10.1109/ICDSP.2018.8631653","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631653","url":null,"abstract":"Hybrid analog/digital precoding is an important technique for next generation millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. The hybrid precoding can reduce RF chain number and power consumption without sacrificing spectral efficiency and a large number of mmWave antennas can be easily packed in small dimensions. Therefore, hybrid precoding can be easily applied to massive MIMO systems. However, the computational complexity of hybrid precoding algorithm is quite high. Thus, this paper aims to reduce the complexity by eliminating redundant computations in practical communication environments. In continuous drifting channel, the channel state information between two successive time indices are strongly related. Accordingly, the proposed algorithm predicts the redundant computations for generating RF precoder and baseband precoder matrices. The proposed algorithm also considers spatial movements of scattering paths by selecting neighboring beamforming basis vectors in codebook search. Simulation results show that the proposed predictive update condition and neighboring search techniques reduce up to 61.3% and 57.1% complexity for the precoder and combiner, respectively.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"67 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123045359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Sparse Bayesian Learning for Horizontal Wavenumber Retrieval in Underwater Acoustical Signal Processing 稀疏贝叶斯学习在水声信号处理中的水平波数检索
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Pub Date : 2018-11-01 DOI: 10.1109/ICDSP.2018.8631652
Zhenglin Li, Haiqiang Niu, Z. Gong, Renhe Zhang
{"title":"Sparse Bayesian Learning for Horizontal Wavenumber Retrieval in Underwater Acoustical Signal Processing","authors":"Zhenglin Li, Haiqiang Niu, Z. Gong, Renhe Zhang","doi":"10.1109/ICDSP.2018.8631652","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631652","url":null,"abstract":"According to the classical normal mode theory, low frequency acoustical signals propagating in shallow water are composed of several modal components associated with their own horizontal wavenumbers. In this paper, the horizontal wavenumbers are retrieved by the sparse Bayesian learning approach using a vertical line array. The modal depth functions derived from the Beam-Displacement-Ray-Mode theory are used as the dictionary. The proposed method does not require the prior of sea bottom information (e.g., soud speed). The performance is demonstrated by simulations in a shallow water environment.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121128856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
High-performance Enhancement-mode GaN Power MIS-FET with Interface Protection Layer 带接口保护层的高性能增强型GaN功率场效应管
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Pub Date : 2018-11-01 DOI: 10.1109/ICDSP.2018.8631634
M. Hua, K. J. Chen
{"title":"High-performance Enhancement-mode GaN Power MIS-FET with Interface Protection Layer","authors":"M. Hua, K. J. Chen","doi":"10.1109/ICDSP.2018.8631634","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631634","url":null,"abstract":"Effective interface protection techniques have been successfully developed to insert a sharp and thermally stable interlayer between the LPCVD (low pressure chemical vapor deposition)-SiNx gate dielectric and recess-etched GaN channel. The interlayer plays the critical role of protecting the etched GaN surface from degradation during high-temperature (i.e. at $sim780 circ C$) process, which is essential for fabricating enhancement-mode $LPCVD-SiN_{x}/GaN$ MIS-FETs with high stability and high reliability. With interface protection layer and reliable $LPCVD-SiN_{x}$ gate dielectric, the normally-off fully-recessed MIS-FET delivers remarkable advantages in high threshold voltage $(V_{th})$ thermal stability, long time-dependent gate dielectric breakdown (TDDB) lifetime and low bias temperature instability (BTI).","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127356110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Joint AoA and Channel Estimation for Pulse-shpaed SIMO-OFDM systems 脉冲型SIMO-OFDM系统的联合AoA和信道估计
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Pub Date : 2018-11-01 DOI: 10.1109/ICDSP.2018.8631818
C. Horng, Wen-Rong Wu, Din-Hwa Huang
{"title":"Joint AoA and Channel Estimation for Pulse-shpaed SIMO-OFDM systems","authors":"C. Horng, Wen-Rong Wu, Din-Hwa Huang","doi":"10.1109/ICDSP.2018.8631818","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631818","url":null,"abstract":"Beamforming has been considered a crucial technique in 5G era. To perform received beamforming, one must know the information of angle-of-arrival (AoA). This paper considers AoA estimation in single-input-multiple-output (SIMO) pilot-assisted OFDM systems. Exploiting the sparsity of the wireless channel, we can first efficiently estimate channel impulse response with a compressive-sensing based technique. However, existing works often do not take the pulse-shaping effect into account, resulting in poor performance in real-world systems. We propose a basisadaptive block sparse Bayesian learning framework to solve the problem. Once the CIRs corresponding to received antennas are obtained, AoAs can then be estimated accordingly.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116002942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Elimination of Impulsive Disturbance based on Nonconvex Regularization 基于非凸正则化的脉冲干扰消除
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Pub Date : 2018-11-01 DOI: 10.1109/ICDSP.2018.8631563
Lei Zhou, Hongqing Liu, Zhen Luo, T. Truong
{"title":"Elimination of Impulsive Disturbance based on Nonconvex Regularization","authors":"Lei Zhou, Hongqing Liu, Zhen Luo, T. Truong","doi":"10.1109/ICDSP.2018.8631563","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631563","url":null,"abstract":"This work aims to recovery the signal that is corrupted by impulsive disturbance. To that end, the $ell_{p}$-norm $(0 lt p leq 1)$ is employed to promote sparsity of the signal of interest and the impulsive disturbance. By doing so, the signal recovery and disturbance suppression are simultaneously achieved. Two improved solvers based on block coordinate descent (BCD) and alternative direction method of multipliers (ADMM) frameworks are developed by utilizing the principle of the reweighted recursive least squares. Numerical experiments demonstrate that the superior performance of the proposed algorithms is obtained compared with the state-of-the-art proximal BCD and ADMM algorithms.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122324269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A State-Space Approach to High-order Adaptive Band-Pass Filtering 一种高阶自适应带通滤波的状态空间方法
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Pub Date : 2018-11-01 DOI: 10.1109/ICDSP.2018.8631878
S. Koshita, K. Miyoshi, M. Abe, M. Kawamata
{"title":"A State-Space Approach to High-order Adaptive Band-Pass Filtering","authors":"S. Koshita, K. Miyoshi, M. Abe, M. Kawamata","doi":"10.1109/ICDSP.2018.8631878","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631878","url":null,"abstract":"This paper proposes a new method of high-order adaptive band-pass filtering for detection of narrowband signals in white noise. In our proposed method we realize a desired adaptive filter in state-space form, which leads to high-accuracy detection of narrowband signals under finite wordlength constraints. We achieve this goal by describing a gradient-based adaptive algorithm for our previously proposed tunable band-pass state-space filters. It is demonstrated that our adaptive state-space filters show the robust convergence behavior against quantization effects, whereas the convergence behavior of the conventional direct-form adaptive filters is very sensitive to the quantization effects.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122938005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Review on One-Bit Compressive Sensing and its Biomedical Applications 比特压缩感知技术及其生物医学应用综述
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Pub Date : 2018-11-01 DOI: 10.1109/ICDSP.2018.8631828
Xiao Han, Haiyan Yang, Xiaolin Huang
{"title":"Review on One-Bit Compressive Sensing and its Biomedical Applications","authors":"Xiao Han, Haiyan Yang, Xiaolin Huang","doi":"10.1109/ICDSP.2018.8631828","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631828","url":null,"abstract":"As a specific class of compressive sensing, one-bit compressive sensing can use sign measurements (one-bit information) to recover sparse signals. One-bit information can be sampled in a very high rate with a relatively low cost. The progress of 1bit-CS, including models, algorithms, and applications, is reviewed in this paper. Additionally, mixed one-bit compressive sensing, which can deal with analog and sign measurements simultaneously, is introduced together with an experiment on computed tomography for a phantom.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122138180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Text Detection in Street View Images by Cascaded Convolutional Neural Networks 基于级联卷积神经网络的街景图像文本检测
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Pub Date : 2018-11-01 DOI: 10.1109/ICDSP.2018.8631678
Po-Wei Chang, Guan-Xin Zeng, Po-Chyi Su
{"title":"Text Detection in Street View Images by Cascaded Convolutional Neural Networks","authors":"Po-Wei Chang, Guan-Xin Zeng, Po-Chyi Su","doi":"10.1109/ICDSP.2018.8631678","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631678","url":null,"abstract":"Considering traffic/shop signs in street view images convey a large amount of information such as locations of pictures taken or effects of advertisement etc., a text detection mechanism for street view images is proposed in this research. To deal with relatively complicated content of street views in urban areas, the proposed scheme consists of two major parts. First, since various interference caused by pedestrians, buildings, vehicles appearing in images will significantly affect the detection performance, a Fully Convolutional Network is employed to locate street signs. Next, another neural network, i.e., Region Proposal Network, will help to extract text lines in the identified traffic/shop signs. Both horizontal and vertical text-lines will be extracted. The experimental results show that the proposed scheme is feasible, especially in processing complex streetscape.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"444 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122161718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sampling H- & V-Polarized Antennas using a Single ADC for Digital Antenna Arrays by Exploiting Multi-Dimensional Signal Processing RF Circuits 利用多维信号处理射频电路，利用单ADC对数字天线阵列的H极化和v极化天线进行采样
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Pub Date : 2018-11-01 DOI: 10.1109/ICDSP.2018.8631606
A. Madanayake, Najath Akram, L. Belostotski
{"title":"Sampling H- & V-Polarized Antennas using a Single ADC for Digital Antenna Arrays by Exploiting Multi-Dimensional Signal Processing RF Circuits","authors":"A. Madanayake, Najath Akram, L. Belostotski","doi":"10.1109/ICDSP.2018.8631606","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631606","url":null,"abstract":"Digital array receivers increasingly require both H and V polarization of the incident RF waves while supporting full-band operation. A wideband ADC is required for each polarization at every location of the array, leading to 2N ADCs for N locations. The paper proposes exploiting multidimensional sparsity in the spatio-temporal frequency domain to reduce the number of ADCs from 2N to N, while supporting two polarizations and wideband RF-digital operation. By using spatiotemporal sparsity with multi-dimensional linear transforms, it is proposed to combine the H and V array signals without interference, such that, the combined array signal can be sampled using just N ADCs. This allows a modern RFSoC or array receiver with N wideband ADC inputs to process N spatial locations in an array where each location contains a cross-polarized element measuring both H and V components, doubling the information carrying capacity of the N-ADC system provided that the elements limit the field-of-view to about 60°.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129106546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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